Digital recognition method and digital recognition system for traffic lights

Abstract

The invention provides a traffic signal lamp number identification method and system, and relates to the technical field of vehicle automatic driving. The traffic signal lamp digital recognition method comprises the following steps: acquiring an image or a video of a traffic signal lamp; identifying the shape of the traffic signal lamp in the image or video according to the image or video of the traffic signal lamp; selecting a pre-established identification model according to the shape of the traffic signal lamp; performing data preprocessing on the image or the video according to the identification model; and inputting the preprocessed image or video into a recognition model to recognize countdown numbers in the traffic lights. According to the traffic signal lamp number identification method, the identification process can be simple, countdown number identification of the traffic signal lamp is accurate, safe and stable driving of an automatic driving vehicle is guaranteed, and serious consequences of traffic accidents caused by sudden braking, red light running and the like of the automatic driving vehicle are prevented.

Description

technical field [0001] The invention relates to the technical field of vehicles, in particular to a traffic signal lamp digital recognition method and a digital recognition system. Background technique [0002] Autonomous driving technology is currently a hot topic in the automotive industry. According to the classification of autonomous driving in SAE, autonomous driving is currently divided into six levels: L0-L5. Among them, L0 refers to vehicles without any automatic driving functions, and L1-L2 automatic driving. Driving is still essentially a driver assistance system (ADAS). L3 autonomous driving can be called a quasi-autonomous driving system, and L4-L5 autonomous driving can be considered a truly meaningful autonomous driving system. [0003] Traditional L1-L2 self-driving vehicles mainly use the vehicle's own sensors (forward-facing radar, forward-looking camera, ultrasonic radar, GPS, IMU, wheel speed sensor, etc.) to realize assisted driving functions in simple sc...

AI Technical Summary

Problems solved by technology

[0009] Another object of the first aspect of the present invention is to solve the problem of difficult or misidentified recognition of the countdown numbers of traffic lights based on deep learning methods in the prior art

[0010] One purpose of the first aspect of the present invention is to solve the problem of unbalanced countdown number recognition collection data when the countdown number recognition of traffic lights is performed by the method based on deep learning in the prior art

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